A daily dietary assessment method named 24-hour dietary recall has commonly been used
in nutritional epidemiology studies to capture detailed information of the food eaten by the …

Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

The deployment of various networks (eg, Internet of Things [IoT] and mobile networks),
databases (eg, nutrition tables and food compositional databases), and social media (eg …

Food recognition plays an important role in food choice and intake, which is essential to the
health and well‐being of humans. It is thus of importance to the computer vision community …

Plant disease diagnosis is very critical for agriculture due to its importance for increasing
crop production. Recent advances in image processing offer us a new way to solve this …

Food recognition has received more and more attention in the multimedia community for its
various real-world applications, such as diet management and self-service restaurants. A …

Fine-grained image recognition is challenging because discriminative clues are usually
fragmented, whether from a single image or multiple images. Despite their significant …

A growing proportion of the global population is becoming overweight or obese, leading to
various diseases (eg, diabetes, ischemic heart disease and even cancer) due to unhealthy …

Food image segmentation is a critical and indispensible task for develo** health-related
applications such as estimating food calories and nutrients. Existing food image …

With the rising incidence of some diseases, such as obesity and diabetes, the healthy diet is
arousing increasing attention. However, most existing food-related research efforts focus on …